The Joe Reis Show cover image

The Joe Reis Show

Chris Riccomini - Building (and Writing About) Data Intensive Applications

Nov 13, 2024
Chris Riccomini, an engineer with a rich background at LinkedIn and WePay, shares insights on building SlateDB and the intricacies of data infrastructure. He recounts his journey from PayPal to LinkedIn, detailing the shifts in technology and engineering challenges. The discussion flows into writing a collaborative handbook for new software engineers during the pandemic. Riccomini also delves into learning Rust, the role of AI in programming, and strategies for staying relevant in tech, emphasizing the future of data applications.
47:45

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Chris emphasizes that optimizing data infrastructure can significantly enhance model performance, illustrating this with his experience at LinkedIn and Hadoop.
  • He highlights the importance of open sourcing technology in attracting talent and fostering innovation, showcasing LinkedIn's culture of collaboration and branding.

Deep dives

Career Overview and Infrastructure Expertise

Chris has a solid background in engineering, having worked at two major companies, LinkedIn and WePay, over a span of 15 years. His expertise lies in infrastructure, where he played key roles in the Hadoop and Kafka ecosystems while at LinkedIn. Notably, Chris was involved in developing Apache SAMSA, a stream processing system, and later managed the data infrastructure team at WePay, contributing to Airflow integration and payments infrastructure. This extensive experience in building and managing complex systems laid the foundation for his current endeavors, including his writing and investment activities.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode